SIGNAL PROCESSING AND NOISE REDUCTION OF A FIBER BRAGG GRATING SEISMIC SENSOR SYSTEM

J.-G. Liu, C. Schmidt-Hattenberger, G. Borm

Abstract

Fiber optic Bragg gratings have found increasing applications to seismic strain measurement of underground structures and rock mass. The strain sensitivity of a Bragg grating measuring system, however, is limited by the noise caused by the instability of the laser wavelength and the rough measurement surroundings. Signal processing and noise reduction plays therefore an important role in the strain measurement using fiber Bragg gratings. In this paper discrete autocorrelation function and iterative smoothing are applied to the improvement of the signal to noise ratio and the detectability of seismic signals in underground rock mass. Results from laboratory and field experiments are given to show the noise reduction and detectability improvements.

Keywords

Fiber Bragg grating, seismic monitoring, noise reduction, autocorrelation function, iterative numerical smoothing

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IMEKO-TC4-2001-038.pdf

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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